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hindi_beekeeping_wav2vec2-3
This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3192
- Wer: 0.3523
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.3632 | 5.56 | 25 | 1.6683 | 0.5591 |
| 0.4727 | 11.11 | 50 | 1.4523 | 0.4156 |
| 0.3069 | 16.67 | 75 | 1.6365 | 0.3987 |
| 0.1225 | 22.22 | 100 | 1.4288 | 0.4367 |
| 0.0865 | 27.78 | 125 | 1.4239 | 0.4051 |
| 0.0496 | 33.33 | 150 | 1.3113 | 0.3819 |
| 0.0436 | 38.89 | 175 | 1.3556 | 0.3776 |
| 0.0337 | 44.44 | 200 | 1.2882 | 0.3586 |
| 0.0275 | 50.0 | 225 | 1.4075 | 0.3861 |
| 0.0204 | 55.56 | 250 | 1.3286 | 0.3734 |
| 0.016 | 61.11 | 275 | 1.3683 | 0.3861 |
| 0.0106 | 66.67 | 300 | 1.4088 | 0.3376 |
| 0.0096 | 72.22 | 325 | 1.3975 | 0.3565 |
| 0.0114 | 77.78 | 350 | 1.3268 | 0.3544 |
| 0.0078 | 83.33 | 375 | 1.3118 | 0.3439 |
| 0.0124 | 88.89 | 400 | 1.3192 | 0.3523 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
